Learn how to implement parametric survival models, use flexible parametric survival models, and the concept of competing risks in modelling time-to-event data.
Understand the essentials of designing, conducting and analysing pragmatic randomised controlled trials (RCTs). Examine RCTs evaluating health and public health interventions in primary, secondary and community settings with individual and cluster randomised designs.
Ground yourself in epidemiological study designs and measures of disease risk used in aetiological epidemiology and health services research. Gain practical experience in study design and the appraisal of epidemiological literature.
Through following the process of carrying out a Systematic Review, learn practical skills required for searching, evaluating and synthesizing evidence in health behaviour.
Learn to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research, and demonstrate the practical application of these methods.